Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China

Research Article

Prediction Model of Dynamic Economic Growth Based on Cantonese-Kowloon-MAC Bay Area-A Case Study of Xiaolou Town Zengcheng

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  • @INPROCEEDINGS{10.4108/eai.17-6-2022.2322887,
        author={Tao  Wang and Junyang  He and Hanze  Zhou and Yajing  Li and Qilin  Zhong and Jiaming  Lu},
        title={Prediction Model of Dynamic Economic Growth Based on Cantonese-Kowloon-MAC Bay Area-A Case Study of Xiaolou Town Zengcheng},
        proceedings={Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China},
        publisher={EAI},
        proceedings_a={ICIDC},
        year={2022},
        month={10},
        keywords={component; cantonese-kowloon-mac bay area; economy; dynamic growth; prediction model},
        doi={10.4108/eai.17-6-2022.2322887}
    }
    
  • Tao Wang
    Junyang He
    Hanze Zhou
    Yajing Li
    Qilin Zhong
    Jiaming Lu
    Year: 2022
    Prediction Model of Dynamic Economic Growth Based on Cantonese-Kowloon-MAC Bay Area-A Case Study of Xiaolou Town Zengcheng
    ICIDC
    EAI
    DOI: 10.4108/eai.17-6-2022.2322887
Tao Wang1,*, Junyang He1, Hanze Zhou1, Yajing Li1, Qilin Zhong1, Jiaming Lu1
  • 1: Guangzhou Huali College
*Contact email: 343339789@qq.com

Abstract

Under the guidance of China's regional coordinated development strategy, this paper puts forward a dynamic economic growth prediction model under the background of Cantonese-Kowloon-MAC Bay Area. The statistical analysis model of dynamic economic growth series data in Cantonese-Kowloon-MAC Bay Area under the background of Cantonese-Kowloon-MAC Bay Area is established, and the feature space structure of dynamic economic growth series is reorganized by combining fuzzy correlation analysis method, and the feature matching of dynamic economic growth series data is realized by combining big data fusion analysis method. The decentralized control model of dynamic economic growth series data is constructed by analyzing the warrants of time series detection of equity capital, and the fuzzy time series reconstruction is adopted by the methods of applicability analysis and model measurement analysis to realize the optimized construction of the prediction model of dynamic economic growth series data under the background of Cantonese-Kowloon-MAC Bay Area. Taking Xiaolou Town, Zengcheng as an example, the empirical analysis results show that this method has the better adaptability and higher prediction accuracy in forecasting the dynamic economic growth series data under the background of Cantonese-Kowloon-MAC Bay Area, which improves the reliability of forecasting the dynamic economic growth under the background of Cantonese-Kowloon-MAC Bay Area.